1,721,027 research outputs found
A Comparison Study for a Neural Network Based Embedded Appliance
No full textIn a previous work [1] the design of a reader device for blind people was presented from the algorithmic standpoint. In this paper we will discuss the study, design and development of its evolution toward an embedded appliance. Two hardware platforms will be analyzed, considering their pros and cons respect to the target application, based on image processing algorithms and Artificial Neural Networks (ANNs). The comparison will take into account the available computational power, the power consumption, the ease of interfacing with other devices and the overall development cycle.
A feasibility study will be outlined and, in the end, one platform will be selected as the base for the proposed reader device for blind people. Run-time performance results of the software running on such platform will be reported
Interfacing an AER Vision Sensor with a Tactile Display: a Proposal for a New Haptic Feedback Device
No full textIn this paper we propose a new haptic feedback device, based on a graphical tactile display and an AER (Address-Event Representation) dynamic vision sensor. The goal is to enable visually impaired people to capture information from the surrounding environment. Following the sensory substitution concept, this device aims to transform dynamic visual features into tactile stimulations.Bitmaps commonly used in computer vision are here replaced by streams of spikes, whose timing, address and type allow to accurately track meaningful changes in the visual scene. A set of proper filters and models have been designed and developed in order to transform those visual spikes into haptic ones. Validation tests have been performed both to tune the involved parameters and to better match a natural and comfortable user experience. Preliminary tests with blindfolded people confirmed the effectiveness of the proposed solution
Editorial: Smart dust: Micro and nano scale devices for highly-integrated localized and distributed smart systems for precision and personalized medicine
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An analog-mode impulse radio system for ultra-low power short-range audio streaming
No full textThis paper introduces and analyzes an ultra-low power and low-complexity analog IR-UWB radio system for unlicensed audio streaming which achieves continuous wave FM performance but exploiting aggressively duty-cycled signaling. At the TX, signal is modulated using a VCO which generates pulses with variable rate (PRF modulation), for an average of 600 kHz. At the RX an asynchronous and interference-robust detector regenerates the modulated signal at half frequency without requiring phase-locking, which is successively processed by a passive FM detector. The obtained demodulated signal is filtered using a fourth order Sallen-Key cell. The TX and RX modules based on commercial components draw 1.89 and 10 mA from 100 mAh Lithium-ion rechargeable batteries (1 TX and 2 RX) and include an integrated TX/RX chipset in a 130 nm RFCMOS technology which operates at 3.5 GHz center frequency and 1.2 V supply. The radio system transmits audio with THD 1%, provides an SNR of 64 dB (aligned with FM radio and compact cassettes) and has a frequency response 110 Hz-17 kHz, for a continuous play time of 50 h (TX) and 12 h (RX), and 2.5 m radio rang
Artificial Neural Networks for Real Time Reader Devices
No full textSTIPER is an Italian national project whose aim is the study of devices to help blind people in daily activities. The core of the portable reader device is based on Artificial Neural Networks, used to recognize characters in real time beyond the fingers of blind people flowing on labels, restaurant menus and other printed objects. Neural Nets outputs are used to drive a Braille matrix, stimulating the fingertips of a blind person, and to speak by means of a common PDA device
Live Demonstration: Low Power System for Event-Driven Control of Functional Electrical Stimulation
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Real time Reader Device for Blind People
No full text[110316.EG Anno 2007 (non 2010): Lecture Notes in Computer Science, 2007, Volume 4694/2007, 292-299, DOI: 10.1007/978-3-540-74829-8_36
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